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Journal articles on the topic 'Image Processing Pipelines'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Gillmann, Christina, Pablo Arbelaez, Jose Hernandez, Hans Hagen, and Thomas Wischgoll. "An Uncertainty-Aware Visual System for Image Pre-Processing." Journal of Imaging 4, no. 9 (2018): 109. http://dx.doi.org/10.3390/jimaging4090109.

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Due to image reconstruction process of all image capturing methods, image data is inherently affected by uncertainty. This is caused by the underlying image reconstruction model, that is not capable to map all physical properties in its entirety. In order to be aware of these effects, image uncertainty needs to be quantified and propagated along the entire image processing pipeline. In classical image processing methodologies, pre-processing algorithms do not consider this information. Therefore, this paper presents an uncertainty-aware image pre-processing paradigm, that is aware of the input

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Tseng, Ethan, Yuxuan Zhang, Lars Jebe, et al. "Neural Photo-Finishing." ACM Transactions on Graphics 41, no. 6 (2022): 1–15. http://dx.doi.org/10.1145/3550454.3555526.

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Image processing pipelines are ubiquitous and we rely on them either directly, by filtering or adjusting an image post-capture, or indirectly, as image signal processing (ISP) pipelines on broadly deployed camera systems. Used by artists, photographers, system engineers, and for downstream vision tasks, traditional image processing pipelines feature complex algorithmic branches developed over decades. Recently, image-to-image networks have made great strides in image processing, style transfer, and semantic understanding. The differentiable nature of these networks allows them to fit a large c

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Mullapudi, Ravi Teja, Andrew Adams, Dillon Sharlet, Jonathan Ragan-Kelley, and Kayvon Fatahalian. "Automatically scheduling halide image processing pipelines." ACM Transactions on Graphics 35, no. 4 (2016): 1–11. http://dx.doi.org/10.1145/2897824.2925952.

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Berg, Steffen, Nishank Saxena, Majeed Shaik, and Chaitanya Pradhan. "Generation of ground truth images to validate micro-CT image-processing pipelines." Leading Edge 37, no. 6 (2018): 412–20. http://dx.doi.org/10.1190/tle37060412.1.

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Digital rock technology and pore-scale physics have become increasingly relevant topics in a wide range of porous media with important applications in subsurface engineering. This technology relies heavily on images of pore space and pore-level fluid distribution determined by X-ray microcomputed tomography (micro-CT). Digital images of pore space (or pore-scale fluid distribution) are typically obtained as gray-level images that first need to be processed and segmented to obtain the binary images that uniquely represent rock and pore (including fluid phases). This processing step is not trivi

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Raju, Rajeswari, Tomas Maul, and Andrzej Bargiela. "New image processing pipelines for membrane detection." Journal of the Institute of Industrial Applications Engineers 3, no. 1 (2015): 15–23. http://dx.doi.org/10.12792/jiiae.3.15.

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Garcia, Lionel J., Mathilde Timmermans, Francisco J. Pozuelos, et al. "prose: a python framework for modular astronomical images processing." Monthly Notices of the Royal Astronomical Society 509, no. 4 (2021): 4817–28. http://dx.doi.org/10.1093/mnras/stab3113.

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ABSTRACT To reduce and analyse astronomical images, astronomers can rely on a wide range of libraries providing low-level implementations of legacy algorithms. However, combining these routines into robust and functional pipelines requires a major effort that often ends up in instrument-specific and poorly maintainable tools, yielding products that suffer from a low level of reproducibility and portability. In this context, we present prose, a python framework to build modular and maintainable image processing pipelines. Built for astronomy, it is instrument-agnostic and allows the constructio

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Aranda, Luis, Pedro Reviriego, and Juan Maestro. "Protecting Image Processing Pipelines against Configuration Memory Errors in SRAM-Based FPGAs." Electronics 7, no. 11 (2018): 322. http://dx.doi.org/10.3390/electronics7110322.

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Image processing systems are widely used in space applications, so different radiation-induced malfunctions may occur in the system depending on the device that is implementing the algorithm. SRAM-based FPGAs are commonly used to speed up the image processing algorithm, but then the system could be vulnerable to configuration memory errors caused by single event upsets (SEUs). In those systems, the captured image is streamed pixel by pixel from the camera to the FPGA. Certain local operations such as median or rank filters need to process the image locally instead of pixel by pixel, so some pa

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Ramos, Vitor S., Luiz Gonzaga De Q. Silveira Junior, and Luiz Felipe De Q. Silveira. "Single Image Highlight Removal for Real-Time Image Processing Pipelines." IEEE Access 8 (2020): 3240–54. http://dx.doi.org/10.1109/access.2019.2963037.

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Melet, O., D. Youssefi, C. L'Helguen, et al. "CO3D MISSION DIGITAL SURFACE MODEL PRODUCTION PIPELINE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 143–48. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-143-2020.

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Abstract. Earth Observation (EO) remote sensing missions are producing an increasing volume of data due to higher spatial and spectral resolutions, and higher frequency of acquisitions. Thus, in order to prepare the future of image processing pipelines, CNES has carried out Research &amp; Development studies related to the use of Big Data and Cloud technologies for image processing chains made. Since mid-2019, CNES in partnership with Airbus Defense &amp; Space, has started a new High Resolution Optical EO mission dedicated to very high resolution 3D observation called CO3D (“Constella

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Wang, Xian Lun, Li Li, and Yu Xia Cui. "Detection and Location of Underwater Pipeline Based on Mathematical Morphology for an AUV." Key Engineering Materials 561 (July 2013): 591–96. http://dx.doi.org/10.4028/www.scientific.net/kem.561.591.

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Underwater pipelines of oil and gas need periodic inspection to prevent damage due to the biological activity of water, turbulent current and tidal abrasion. Currently, vision-based autonomous underwater vehicle plays an important role in this field. A system has been designed to help an autonomous vehicle in sea-bottom survey operation. Image understanding and object recognition directly affect the accuracy of inspection. An image smoothing method based on mathematical morphology is proposed. The disturbances on acquired images caused by the motion are partially removed. A series of algorithm

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Reischl, Markus, Andreas Bartschat, Urban Liebel, Jochen Gehrig, Ference Müller, and Ralf Mikut. "ZebrafishMiner: an open source software for interactive evaluation of domain-specific fluorescence in zebrafish." Current Directions in Biomedical Engineering 3, no. 2 (2017): 199–202. http://dx.doi.org/10.1515/cdbme-2017-0042.

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AbstractHigh-throughput microscopy makes it possible to observe the morphology of zebrafish on large scale to quantify genetic, toxic or drug effects. The image acquisition is done by automated microscopy, images are evaluated automatically by image processing pipelines, tailored specifically to the requirements of the scientific question. The transfer of such algorithms to other projects, however, is complex due to missing guidelines and lack of mathematical or programming knowledge. In this work, we implement an image processing pipeline for automatic fluorescence quantification in user-defi

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Jiang, Haomiao, Qiyuan Tian, Joyce Farrell, and Brian Wandell. "Local Linear Approximation for Camera Image Processing Pipelines." Electronic Imaging 2016, no. 18 (2016): 1–4. http://dx.doi.org/10.2352/issn.2470-1173.2016.18.dpmi-248.

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Seshamani, Sharmishtaa, Camilo Laiton, Gabor Kovacs, et al. "Cloud Pipelines for Large Scale Lightsheet Image Processing." Microscopy and Microanalysis 29, Supplement_1 (2023): 998. http://dx.doi.org/10.1093/micmic/ozad067.501.

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Fang, Jin, Jun Xiang, Li Ma, Hao Liu, Chenxiang Wang, and Shan Liang. "Gas-Driven Endoscopic Robot for Visual Inspection of Corrosion Defects Inside Gas Pipelines." Processes 11, no. 4 (2023): 1098. http://dx.doi.org/10.3390/pr11041098.

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The internal inspection of corrosion in large natural gas pipelines is a fundamental task for the prevention of possible failures. Photos and videos provide direct proof of internal corrosion defects. However, the implementation of this technique is limited by fast robot motion and poor lighting conditions, with high-quality images being key to its success. In this work, we developed a natural gas-driven pipeline endoscopic robot (GDPER) for the visual inspection of the inner wall surfaces of pipelines. GDPER consists of driving, odometer, and vision modules connected by universal joints. It i

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Correia, João, Nereida Rodriguez-Fernandez, Leonardo Vieira, Juan Romero, and Penousal Machado. "Towards Automatic Image Enhancement with Genetic Programming and Machine Learning." Applied Sciences 12, no. 4 (2022): 2212. http://dx.doi.org/10.3390/app12042212.

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Image Enhancement (IE) is an image processing procedure in which the image’s original information is improved, highlighting specific features to ease post-processing analyses by a human or machine. State-of-the-art image enhancement pipelines apply solutions to fixed and static constraints to solve specific issues in isolation. In this work, an IE system for image marketing is proposed, more precisely, real estate marketing, where the objective is to enhance the commercial appeal of the images, while maintaining a level of realism and similarity with the original image. This work proposes a ge

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Kakogawa, Atsushi, Yuki Komurasaki, and Shugen Ma. "Shadow-Based Operation Assistant for a Pipeline-Inspection Robot Using a Variance Value of the Image Histogram." Journal of Robotics and Mechatronics 31, no. 6 (2019): 772–80. http://dx.doi.org/10.20965/jrm.2019.p0772.

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This paper presents a shadow-based operation assistant method for a pipeline-inspection robot using a variance value of the image histogram. By displacing the position of the head camera relative to that of the illuminator, a crescent-shaped shadow appears in the images captured in a bent pipe. The size, position, and orientation of the shadow depend on the robot’s orientation around the pipe axis. By applying the pathway direction of the bent pipe obtained from the image processing to the rolling movement, the robot can automatically adjust its roll-orientation. Experiments were conducted in

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Moutsatsos, Ioannis K., Imtiaz Hossain, Claudia Agarinis, et al. "Jenkins-CI, an Open-Source Continuous Integration System, as a Scientific Data and Image-Processing Platform." SLAS DISCOVERY: Advancing the Science of Drug Discovery 22, no. 3 (2016): 238–49. http://dx.doi.org/10.1177/1087057116679993.

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High-throughput screening generates large volumes of heterogeneous data that require a diverse set of computational tools for management, processing, and analysis. Building integrated, scalable, and robust computational workflows for such applications is challenging but highly valuable. Scientific data integration and pipelining facilitate standardized data processing, collaboration, and reuse of best practices. We describe how Jenkins-CI, an “off-the-shelf,” open-source, continuous integration system, is used to build pipelines for processing images and associated data from high-content scree

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Wiesmann, Veit, Dorothea Reimer, Daniela Franz, Hanna Hüttmayer, Dirk Mielenz, and Thomas Wittenberg. "Automated high-throughput analysis of B cell spreading on immobilized antibodies with whole slide imaging." Current Directions in Biomedical Engineering 1, no. 1 (2015): 224–27. http://dx.doi.org/10.1515/cdbme-2015-0056.

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AbstractAutomated image processing methods enable objective, reproducible and high quality analysis of fluorescent cell images in a reasonable amount of time. Therefore, we propose the application of image processing pipelines based on established segmentation algorithms which can handle massive amounts of whole slide imaging data of multiple fluorescent labeled cells. After automated parameter adaption the segmentation pipelines provide high quality cell delineations revealing significant differences in the spreading of B cells: LPS-activated B cells spread significantly less on anti CD19 mAb

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Ubbens, Jordan, Mikolaj Cieslak, Przemyslaw Prusinkiewicz, Isobel Parkin, Jana Ebersbach, and Ian Stavness. "Latent Space Phenotyping: Automatic Image-Based Phenotyping for Treatment Studies." Plant Phenomics 2020 (January 20, 2020): 1–13. http://dx.doi.org/10.34133/2020/5801869.

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Association mapping studies have enabled researchers to identify candidate loci for many important environmental tolerance factors, including agronomically relevant tolerance traits in plants. However, traditional genome-by-environment studies such as these require a phenotyping pipeline which is capable of accurately measuring stress responses, typically in an automated high-throughput context using image processing. In this work, we present Latent Space Phenotyping (LSP), a novel phenotyping method which is able to automatically detect and quantify response-to-treatment directly from images.

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Kolinger, Guilherme D., David Vállez García, Antoon T. M. Willemsen, et al. "Amyloid burden quantification depends on PET and MR image processing methodology." PLOS ONE 16, no. 3 (2021): e0248122. http://dx.doi.org/10.1371/journal.pone.0248122.

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Quantification of amyloid load with positron emission tomography can be useful to assess Alzheimer’s Disease in-vivo. However, quantification can be affected by the image processing methodology applied. This study’s goal was to address how amyloid quantification is influenced by different semi-automatic image processing pipelines. Images were analysed in their Native Space and Standard Space; non-rigid spatial transformation methods based on maximum a posteriori approaches and tissue probability maps (TPM) for regularisation were explored. Furthermore, grey matter tissue segmentations were def

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Yazdani, S., R. Yusof, A. H. Riazi, A. Karimian, and A. Hematian. "Evaluation of Pipelines in Industrial Radiography Using Image Processing Techniques." Advanced Science, Engineering and Medicine 6, no. 1 (2014): 81–85. http://dx.doi.org/10.1166/asem.2014.1444.

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Fiedler, Christian, Paul-Philipp Jacobs, Marcel Müller, et al. "A Comparative Study of Automatic Localization Algorithms for Spherical Markers within 3D MRI Data." Brain Sciences 11, no. 7 (2021): 876. http://dx.doi.org/10.3390/brainsci11070876.

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Localization of features and structures in images is an important task in medical image-processing. Characteristic structures and features are used in diagnostics and surgery planning for spatial adjustments of the volumetric data, including image registration or localization of bone-anchors and fiducials. Since this task is highly recurrent, a fast, reliable and automated approach without human interaction and parameter adjustment is of high interest. In this paper we propose and compare four image processing pipelines, including algorithms for automatic detection and localization of spherica

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李, 春锋. "Application of Image Acquisition and Processing Method in Pipeline Engineering of Oil and Gas Pipelines." Journal of Oil and Gas Technology 41, no. 06 (2019): 103–8. http://dx.doi.org/10.12677/jogt.2019.416105.

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Bohlouli, Reza, Babak Rostami, and Jafar Keighobadi. "Application of Neuro-Wavelet Algorithm in Ultrasonic-Phased Array Nondestructive Testing of Polyethylene Pipelines." Journal of Control Science and Engineering 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/389690.

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Polyethylene (PE) pipelines with electrofusion (EF) joining is an essential method of transportation of gas energy. EF joints are weak points for leakage and therefore, Nondestructive testing (NDT) methods including ultrasonic array technology are necessary. This paper presents a practical NDT method of fusion joints of polyethylene piping using intelligent ultrasonic image processing techniques. In the proposed method, to detect the defects of electrofusion joints, the NDT is applied based on an ANN-Wavelet method as a digital image processing technique. The proposed approach includes four st

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Peng, Daicheng, Fei Cheng, Xiaoyu She, Yunpeng Zheng, Yongjie Tang, and Zhuo Fan. "Three-Dimensional Ultrasonic Reverse-Time Migration Imaging of Submarine Pipeline Nondestructive Testing in Cylindrical Coordinates." Journal of Marine Science and Engineering 11, no. 7 (2023): 1459. http://dx.doi.org/10.3390/jmse11071459.

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Submarine pipelines are a safe and energy-efficient mode of gas transport. However, due to the complex manufacturing process and harsh operating environment, submarine pipelines are subject to fatigue cracks under long-term cyclic loading. A comprehensive and high-precision characterization strategy for submarine pipelines can effectively prevent potential safety hazards and have significant economic and social repercussions. As a matter of fact, pipeline defects cannot be reliably detected with current traditional 2D methods. On the other hand, in ultrasonic testing, cylindrical geometry incr

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Fu, Yu, Jie Kou, and Cuiwei Du. "Fractal characteristics of AC corrosion morphology of X80 pipeline steel in coastal soil solution." Anti-Corrosion Methods and Materials 66, no. 6 (2019): 868–78. http://dx.doi.org/10.1108/acmm-01-2019-2066.

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Purpose Pipelines are seriously corroded due to the close distance between pipelines and high voltage transmission lines. The purpose of this paper is to study the influence of alternating current (AC) on corrosion behavior of X80 pipeline steel in coastal soil solution. Design/methodology/approach The corrosion behavior of X80 steel under different AC densities in coastal soil solution was investigated by electrochemical measurements and image processing technology. Furthermore, a quantitative description model of AC corrosion through fractal dimension of corrosion image was established. Find

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Shariff, Aabid, Joshua Kangas, Luis Pedro Coelho, Shannon Quinn, and Robert F. Murphy. "Automated Image Analysis for High-Content Screening and Analysis." Journal of Biomolecular Screening 15, no. 7 (2010): 726–34. http://dx.doi.org/10.1177/1087057110370894.

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The field of high-content screening and analysis consists of a set of methodologies for automated discovery in cell biology and drug development using large amounts of image data. In most cases, imaging is carried out by automated microscopes, often assisted by automated liquid handling and cell culture. Image processing, computer vision, and machine learning are used to automatically process high-dimensional image data into meaningful cell biological results. The key is creating automated analysis pipelines typically consisting of 4 basic steps: (1) image processing (normalization, segmentati

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Dai, Bo, and Ming Lu Ma. "An Automatic Measurement for Pipeline Thickness Detection Using Ultrasonic Method." Applied Mechanics and Materials 229-231 (November 2012): 1427–36. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.1427.

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The measurement of wall thickness of pipelines is an important procedure of pipeline corrosion inspection. This procedure can be done automatically in a computer by processing data acquired from ultrasound probe, forming C-scan image, and running thickness detection algorithms. This paper presents in detail the comparison of three ways of processing, which are FFT algorithm, twice FFT algorithm, and improved twice FFT algorithm. The final results show that improved twice FFT algorithm has the best precision compared with the other two algorithms. It has higher accuracy than FFT algorithm and l

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Lyu, Beichen, Stuart D. Smith, Yexiang Xue, Katy M. Rainey, and Keith Cherkauer. "An Efficient Pipeline for Crop Image Extraction and Vegetation Index Derivation Using Unmanned Aerial Systems." Transactions of the ASABE 63, no. 4 (2020): 1133–46. http://dx.doi.org/10.13031/trans.13661.

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HighlightsThis study addresses two computational challenges in high-throughput phenotyping: scalability and efficiency.Specifically, we focus on extracting crop images and deriving vegetation indices using unmanned aerial systems.To this end, we outline a data processing pipeline, featuring a crop localization algorithm and trie data structure.We demonstrate the efficacy of our approach by computing large-scale and high-precision vegetation indices in a soybean breeding experiment, where we evaluate soybean growth under water inundation and temporal change.Abstract. In agronomy, high-throughpu

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Ragan-Kelley, Jonathan, Andrew Adams, Sylvain Paris, Marc Levoy, Saman Amarasinghe, and Frédo Durand. "Decoupling algorithms from schedules for easy optimization of image processing pipelines." ACM Transactions on Graphics 31, no. 4 (2012): 1–12. http://dx.doi.org/10.1145/2185520.2185528.

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Mattonen, Sarah A., Dev Gude, Sebastian Echegaray, Shaimaa Bakr, Daniel L. Rubin, and Sandy Napel. "Quantitative imaging feature pipeline: a web-based tool for utilizing, sharing, and building image-processing pipelines." Journal of Medical Imaging 7, no. 04 (2020): 1. http://dx.doi.org/10.1117/1.jmi.7.4.042803.

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Garfi, Gaetano, Cédric M. John, Steffen Berg, and Samuel Krevor. "The Sensitivity of Estimates of Multiphase Fluid and Solid Properties of Porous Rocks to Image Processing." Transport in Porous Media 131, no. 3 (2019): 985–1005. http://dx.doi.org/10.1007/s11242-019-01374-z.

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AbstractX-ray microcomputed tomography (X-ray μ-CT) is a rapidly advancing technology that has been successfully employed to study flow phenomena in porous media. It offers an alternative approach to core scale experiments for the estimation of traditional petrophysical properties such as porosity and single-phase flow permeability. It can also be used to investigate properties that control multiphase flow such as rock wettability or mineral topology. In most applications, analyses are performed on segmented images obtained employing a specific processing pipeline on the greyscale images. The

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Sousa, Maria João, Alexandra Moutinho, and Miguel Almeida. "Thermal Infrared Sensing for Near Real-Time Data-Driven Fire Detection and Monitoring Systems." Sensors 20, no. 23 (2020): 6803. http://dx.doi.org/10.3390/s20236803.

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With the increasing interest in leveraging mobile robotics for fire detection and monitoring arises the need to design recognition technology systems for these extreme environments. This work focuses on evaluating the sensing capabilities and image processing pipeline of thermal imaging sensors for fire detection applications, paving the way for the development of autonomous systems for early warning and monitoring of fire events. The contributions of this work are threefold. First, we overview image processing algorithms used in thermal imaging regarding data compression and image enhancement

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MacLeod, R. S., J. G. Stinstra, S. Lew, et al. "Subject-specific, multiscale simulation of electrophysiology: a software pipeline for image-based models and application examples." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1896 (2009): 2293–310. http://dx.doi.org/10.1098/rsta.2008.0314.

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Many simulation studies in biomedicine are based on a similar sequence of processing steps, starting from images and running through geometric model generation, assignment of tissue properties, numerical simulation and visualization of the results—a process known as image-based geometric modelling and simulation. We present an overview of software systems for implementing such a sequence both within highly integrated problem-solving environments and in the form of loosely integrated pipelines. Loose integration in this case indicates that individual programs function largely independently but

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Jangda, Abhinav, and Uday Bondhugula. "An effective fusion and tile size model for optimizing image processing pipelines." ACM SIGPLAN Notices 53, no. 1 (2018): 261–75. http://dx.doi.org/10.1145/3200691.3178507.

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Diamond, Steven, Vincent Sitzmann, Frank Julca-Aguilar, Stephen Boyd, Gordon Wetzstein, and Felix Heide. "Dirty Pixels: Towards End-to-end Image Processing and Perception." ACM Transactions on Graphics 40, no. 3 (2021): 1–15. http://dx.doi.org/10.1145/3446918.

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Real-world, imaging systems acquire measurements that are degraded by noise, optical aberrations, and other imperfections that make image processing for human viewing and higher-level perception tasks challenging. Conventional cameras address this problem by compartmentalizing imaging from high-level task processing. As such, conventional imaging involves processing the RAW sensor measurements in a sequential pipeline of steps, such as demosaicking, denoising, deblurring, tone-mapping, and compression. This pipeline is optimized to obtain a visually pleasing image. High-level processing, howev

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Pérez-Dones, Diego, Mario Ledesma-Terrón, and David G. Míguez. "Quantitative Approaches to Study Retinal Neurogenesis." Biomedicines 9, no. 9 (2021): 1222. http://dx.doi.org/10.3390/biomedicines9091222.

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The study of the development of the vertebrate retina can be addressed from several perspectives: from a purely qualitative to a more quantitative approach that takes into account its spatio-temporal features, its three-dimensional structure and also the regulation and properties at the systems level. Here, we review the ongoing transition toward a full four-dimensional characterization of the developing vertebrate retina, focusing on the challenges at the experimental, image acquisition, image processing and quantification. Using the developing zebrafish retina, we illustrate how quantitative

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Xu, Chao, Mingxing Wu, Tian Zhou, et al. "Optical Flow-Based Detection of Gas Leaks from Pipelines Using Multibeam Water Column Images." Remote Sensing 12, no. 1 (2020): 119. http://dx.doi.org/10.3390/rs12010119.

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In recent years, most multibeam echo sounders (MBESs) have been able to collect water column image (WCI) data while performing seabed topography measurements, providing effective data sources for gas-leakage detection. However, there can be systematic (e.g., sidelobe interference) or natural disturbances in the images, which may introduce challenges for automatic detection of gas leaks. In this paper, we design two data-processing schemes to estimate motion velocities based on the Farneback optical flow principle according to types of WCIs, including time-angle and depth-across track images. M

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Tscharf, A., M. Rumpler, F. Fraundorfer, G. Mayer, and H. Bischof. "ON THE USE OF UAVS IN MINING AND ARCHAEOLOGY - GEO-ACCURATE 3D RECONSTRUCTIONS USING VARIOUS PLATFORMS AND TERRESTRIAL VIEWS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-1/W1 (August 27, 2015): 15–22. http://dx.doi.org/10.5194/isprsannals-ii-1-w1-15-2015.

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During the last decades photogrammetric computer vision systems have been well established in scientific and commercial applications. Especially the increasing affordability of unmanned aerial vehicles (UAVs) in conjunction with automated multi-view processing pipelines have resulted in an easy way of acquiring spatial data and creating realistic and accurate 3D models. With the use of multicopter UAVs, it is possible to record highly overlapping images from almost terrestrial camera positions to oblique and nadir aerial images due to the ability to navigate slowly, hover and capture images at

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Muschelli, John, Elizabeth Sweeney, and Ciprian M. Crainiceanu. "freesurfer: Connecting the Freesurfer software with R." F1000Research 7 (May 16, 2018): 599. http://dx.doi.org/10.12688/f1000research.14361.1.

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We present the packagefreesurfer, a set of R functions that interface with Freesurfer, a commonly-used open-source software package for processing and analyzing structural neuroimaging data, specifically T1-weighted images. Thefreesurferpackage performs operations on nifti image objects in R using command-line functions from Freesurfer, and returns R objects back to the user. freesurferallows users to process neuroanatomical images and provides functionality to convert and read the output of the Freesurfer pipelines more easily, including brain images, brain surfaces, and Freesurfer output tab

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Jindal, Himanshu, Singara Singh Kasana, and Sharad Saxena. "Underwater pipelines panoramic image transmission and refinement using acoustic sensors." International Journal of Wavelets, Multiresolution and Information Processing 16, no. 03 (2018): 1850013. http://dx.doi.org/10.1142/s0219691318500133.

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The natural resources require continuous monitoring of pipelines to avoid algae blooms, corrosion, leakages, damages at joints for better management. Monitoring is performed through Wireless Sensors Network in collaboration with various communication methods using image sensors, but they face limitations like time consumption, color variations, blurred data, bit or data losses. To overcome the limitations, the paper proposes a Panoramic Image Transmission and Refinement Technique that uses acoustical sensors, Hybrid-Orthogonal Frequency Division Multiplexing (Hybrid-OFDM) and Mosaicing techniq

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Prūsis, K., and A. Nikolajevs. "Data Reduction and Imaging of Gravitational Lens System Class B0631+519." Latvian Journal of Physics and Technical Sciences 57, no. 1-2 (2020): 41–51. http://dx.doi.org/10.2478/lpts-2020-0006.

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AbstractThe present paper describes reduction procedures and imaging of radio astronomical data from the gravitational lens system CLASS B0631+519 acquired by e-MERLIN interferometer. The source has been previously imaged with VLA, MERLIN and the VLBA interferometers. Data reduction and polarisation calibration procedures will provide data on Faraday effects such as Faraday rotation and depolarization between lensed images that in turn carry information on large and small-scale magnetic fields in the lensing galaxy.Reduction of data and imaging of the radio astronomical source have been achiev

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Suharyadi, Suharyadi, and Yudhistira Tri Nurteisa. "Teknologi Pesawat Tanpa Awak untuk Pemetaan Skala Detail Rencana Jaringan Pipa Sanitasi Komunal bagi Masyarakat Dusun Kepek 1, Kepek, Wonosari, Gunungkidul." Jurnal Pengabdian kepada Masyarakat (Indonesian Journal of Community Engagement) 2, no. 1 (2017): 1–13. http://dx.doi.org/10.22146/jpkm.22081.

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Human settlements can not be separated from the emergence of waste generated by human activity. Waste will give a negative efect on health and the environment if not handled and managed properly. Hamlet Kepek 1, Kepek, Wonosari have realized the impact that arises when household waste is not managed properly. For that, some residents have initiated a communal waste management and manufacture of communal sanitation pipelines. Conventionally, communal sanitary pipe network planning and data requires a huge cost, for it takes breakthrough of utilization of appropriate technology to facilitate the

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Hanwell, Marcus D., Christopher J. Harris, Alessandro Genova, Jonathan Schwartz, Yi Jiang, and Robert Hovden. "Tomviz: Open Source Platform Connecting Image Processing Pipelines to GPU Accelerated 3D Visualization." Microscopy and Microanalysis 25, S2 (2019): 408–9. http://dx.doi.org/10.1017/s1431927619002770.

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Tang, Jian, Wenxiu Yu, Guoxin Zhao, Xiangdong Jiao, and Xuepeng Ding. "Application of Bispectrum Dimensionality Reduction Method in Ultrasonic Echo Signal Processing." Journal of Advanced Computational Intelligence and Intelligent Informatics 26, no. 6 (2022): 1053–60. http://dx.doi.org/10.20965/jaciii.2022.p1053.

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Processing ultrasonic echo signals to obtain high-precision residual thickness information of the pipeline wall is the key to nondestructive testing of corrosion of a long-distance pipeline. The traditional power spectrum estimation method assumes that an analyzed echo signal is Gaussian, and the useful information is insufficiently extracted, which leads to errors in the processing results. In this paper, to solve this problem, the bispectrum, which requires the least amount of computation in higher-order spectral estimation, is proposed to process an echo signal with a non-minimum phase and

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Kautz, Elizabeth, Wufei Ma, Arun Baskaran, et al. "Image-driven discriminative and generative methods for establishing microstructure-processing relationships relevant to nuclear fuel processing pipelines." Microscopy and Microanalysis 27, S1 (2021): 2128–30. http://dx.doi.org/10.1017/s1431927621007674.

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Olsson, Tjelvar S. G., and Matthew Hartley. "jicbioimage: a tool for automated and reproducible bioimage analysis." PeerJ 4 (November 15, 2016): e2674. http://dx.doi.org/10.7717/peerj.2674.

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There has been steady improvement in methods for capturing bioimages. However analysing these images still remains a challenge. The Python programming language provides a powerful and flexible environment for scientific computation. It has a wide range of supporting libraries for image processing but lacks native support for common bioimage formats, and requires specific code to be written to ensure that suitable audit trails are generated and analyses are reproducible. Here we describe the development of a Python tool that: (1) allows users to quickly view and explore microscopy data; (2) gen

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Chen, Kun, Hongtao Li, Chunshu Li, et al. "An Automatic Defect Detection System for Petrochemical Pipeline Based on Cycle-GAN and YOLO v5." Sensors 22, no. 20 (2022): 7907. http://dx.doi.org/10.3390/s22207907.

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Defect detection of petrochemical pipelines is an important task for industrial production safety. At present, pipeline defect detection mainly relies on closed circuit television method (CCTV) to take video of the pipeline inner wall and then detect the defective area manually, so the detection is very time-consuming and has a high rate of false and missed detections. To solve the above issues, we proposed an automatic defect detection system for petrochemical pipeline based on Cycle-GAN and improved YOLO v5. Firstly, in order to create the pipeline defect dataset, the original pipeline video

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Tseng, Ethan, Ali Mosleh, Fahim Mannan, et al. "Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design." ACM Transactions on Graphics 40, no. 2 (2021): 1–19. http://dx.doi.org/10.1145/3446791.

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Most modern commodity imaging systems we use directly for photography—or indirectly rely on for downstream applications—employ optical systems of multiple lenses that must balance deviations from perfect optics, manufacturing constraints, tolerances, cost, and footprint. Although optical designs often have complex interactions with downstream image processing or analysis tasks, today’s compound optics are designed in isolation from these interactions. Existing optical design tools aim to minimize optical aberrations, such as deviations from Gauss’ linear model of optics, instead of application

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Dai, Lianshuang, Hao Feng, Ting Wang, Wenbo Xuan, Ziqian Liang, and Xinqi Yang. "Pipe Crack Recognition Based on Eddy Current NDT and 2D Impedance Characteristics." Applied Sciences 9, no. 4 (2019): 689. http://dx.doi.org/10.3390/app9040689.

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Girth weld cracking of long-distance oil and gas pipelines yields substantial harm to pipeline safety and may cause serious accidents. As of today, non-destructive testing has been one of the most common methods for predicting potential faults and ensuring safe operation. Classical pipeline non-destructive testing methods include magnetic flux leakage testing and the use of ultrasonic testing by electromagnetic acoustic transducers. However, they are incapable of identifying the defects in complex surfaces like girth welds. Magnetic flux leakage testing exhibits poor anti-interference abilitie

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